AIMC Topic: Humans

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Wireless body area sensor networks based human activity recognition using deep learning.

Scientific reports
In the healthcare sector, the health status and biological, and physical activity of the patient are monitored among different sensors that collect the required information about these activities using Wireless body area network (WBAN) architecture. ...

Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals.

Scientific reports
Heart diseases are leading to death across the globe. Exact detection and treatment for heart disease in its early stages could potentially save lives. Electrocardiogram (ECG) is one of the tests that take measures of heartbeat fluctuations. The devi...

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts.

Nature communications
Early detection is critical to achieving improved treatment outcomes for child patients with congenital heart diseases (CHDs). Therefore, developing effective CHD detection techniques using low-cost and non-invasive pediatric electrocardiogram are hi...

A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection.

Scientific data
Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examination of voided urine for markers of infection. This manual technique is technically difficult, time-consuming and prone to inter-observer errors. The ...

Two is better than one: longitudinal detection and volumetric evaluation of brain metastases after Stereotactic Radiosurgery with a deep learning pipeline.

Journal of neuro-oncology
PURPOSE: Close MRI surveillance of patients with brain metastases following Stereotactic Radiosurgery (SRS) treatment is essential for assessing treatment response and the current disease status in the brain. This follow-up necessitates the compariso...

Robot-assisted abdominal surgery in children less than 5 months of age: retrospective cohort study.

International journal of surgery (London, England)
BACKGROUND: Robot-assisted surgery is increasingly used in children. While robot-assisted surgery in children has been proved to be safe and feasible, use in infants is controversial. The purpose of this study was to present a study of robot-assisted...

Preliminary report on a novel technique for endoscopic transaxillary thyroidectomy: a case-control study.

International journal of surgery (London, England)
BACKGROUND: Endoscopic transaxillary approaches to thyroidectomy have been well described and gasless transaxillary endoscopic thyroidectomy (GTET) is the most popular method. However, this require a single long axillary incision which is longer than...